// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

#pragma once

#include <string>
#include <vector>
#include "paddle/phi/core/dense_tensor.h"

namespace phi {
template <typename T, typename Context>
void FFTC2CGradKernel(const Context& dev_ctx,
                      const DenseTensor& out_grad,
                      const std::vector<int64_t>& axes,
                      const std::string& normalization,
                      bool forward,
                      DenseTensor* x_grad);

template <typename T, typename Context>
void FFTC2RGradKernel(const Context& dev_ctx,
                      const DenseTensor& out_grad,
                      const std::vector<int64_t>& axes,
                      const std::string& normalization,
                      bool forward,
                      int64_t last_dim_size,
                      DenseTensor* x_grad);

template <typename T, typename Context>
void FFTR2CGradKernel(const Context& dev_ctx,
                      const DenseTensor& x,
                      const DenseTensor& out_grad,
                      const std::vector<int64_t>& axes,
                      const std::string& normalization,
                      bool forward,
                      bool onesided,
                      DenseTensor* x_grad);
}  // namespace phi
